征稿期刊

Technovation

期刊级别

SSCI (JCR 2023)

IF 11.1

Q1 (MANAGEMENT 8/407)

SCIE (JCR 2023)

IF 11.1

Q1 (OPERATIONS RESEARCH & MANAGEMENT SCIENCE 2/106)

征稿主题

Socially Responsible AI Ecosystems: Exploring the Design, Applications, and Implications of AI Innovation

细分领域

Human-centered AI

The manner in which the socio-technical design of AI-based systems affects user experience, behaviour, and satisfaction

The success factors of human-AI collaboration in an organisational environment

The factors underpinning the optimal benefits of AI for diverse user groups

Designing accessible AI-based systems to accommodate the needs of diverse user groups

Human-AI interaction and the socio-technical design implications for society

Opportunities and challenges of human-centered AI for organisations

Responsible AI ecosystems that enhance human creativity and problem-solving capabilities

How to prepare the workforce for human-focused digital transformation using AI

Explainability in AI systems and its impact on human-centered design

Responsible AI ecosystems in diverse contexts

Implementation of AI-based systems in organisational settings and the impact on workflows, employee roles, and organisational culture• Social and cultural implications of the adoption of AI in different contexts

Biases in AI-based systems and implications for sustainable decision-making

Responsible AI ecosystems and digital transformation using AI

Challenges and obstacles in digital transformation using AI

Assessing and measuring the impact of responsible AI on stakeholders and society.

Explainability in AI systems and its role in building trust and ensuring transparency across diverse organizational and cultural settings

Socio-technical and sustainability implications of AI

Designing AI-based systems to align with economic, social and sustainability goals to ensure cultural and social inclusivity• Designing AI-based systems to account for health and wellbeing in the workplace

The socio-technical factors contributing to the social exclusion of stakeholders using AI

The socio-technical factors contributing to the growing digital divide with respect to AI

A socio-technical perspective on AI-based infrastructure for environmental sustainability

Designing AI-based systems that are accountable and transparent to users and society

Policy and Governance around AI

Policies ensuring data privacy, security, and fairness in using AI

Strategies to address competing and conflicting interests of stakeholders

Regulatory frameworks that account for the socio-technical implications of AI

Governance in the context of responsible AI ecosystems

重要时间

Submission Deadline: 30 January 2026

原文：https://www.sciencedirect.com/special-issue/317807/socially-responsible-ai-ecosystems-exploring-the-design-applications-and-implications-of-ai-innovation